REINFORCEjs (Reinforcement Learning Demos)

A set of demos for a JavaScript reinforcement learning library that runs straight in the browser. You can watch values settle in a gridworld under dynamic programming and tabular temporal-difference learning (SARSA and Q-learning), and watch deep Q-learning (DQN) agents move in PuckWorld and WaterWorld. You come away seeing the basic structure of reinforcement learning: behaviour is refined by nothing more than rewards and penalties.